Koninklijke Philips Corporation N.v.

Douglas B McKnight

Chuanyong Bai

Andriy Andreyev

Sunny Virmani

Thomas John Naypauer

Jinghan Ye

Zhiqiang Hu

Xiyun Song

Yang-Ming Zhu

Shiyu Xu

Hao Dang

Hui Wang

Roland Proksa

Daniel Gagnon

Liran Goshen

Lingxiong Shao

Marc Anthony Chappo

Randall Peter Luhta

Bin Zhang

Chi-Hua Tung

Shekhar Dwivedi

Hao Lai

Mordechay Pinchas Freiman

Dennis K Everett

Thomas Christopher Bulgrin

Robert G Henderson

Yu-Lung Hsieh

Shushen Lin

Dane Pittock

Michael G Ambrosia

Michael Allen Miller

Alan Love

Sheng Lu

Nathan Serafino

Ilya Brodskiy

Gustavo Francken

Mark Edwards

Marc Huber

A spectral computed tomography imaging system () includes a radiation source () configured to emit x-ray radiation and a detector array () configured to detect x-ray radiation and generate spectral data. The spectral imaging system further includes a memory () configured to store a virtual non-contrast image enhancing module () that includes computer executable instructions including a neural network trained to produce image quality enhanced virtual non-contrast images. The neural network is trained with training spectral data and training non-contrast-enhanced images generated from a non-contrast-enhanced scan. The spectral imaging system further includes a processor () configured to process the spectral data with the trained neural network to produce the image quality enhanced virtual non-contrast images.

Image quality improved virtual non-contrast images generated by a spectral computed tomography (CT) scanner

A device () for performing an amyloid assessment includes a radiation detector assembly () including at least one radiation detector (). At least one electronic processor () is programmed to: detect radiation counts over a data acquisition time interval using the radiation detector assembly; compute at least one current count metric from the detected radiation counts; store the at least one current count metric associated with a current test date in a non-transitory storage medium (); and determine an amyloid metric based on a comparison of the at least one current count metric with a count metric stored in the non-transitory storage medium associated with an earlier test date.

Method and apparatus for amyloid screening

A system () includes a computer readable storage medium () with computer executable instructions (), including: a biophysical simulator component () configured to determine a fractional flow reserve value via simulation and a traffic light engine () configured to track a user-interaction with the computing system at one or more points of the simulation to determine the fractional flow reserve value. A processor () is configured to execute the biophysical simulator component to determine the fractional flow reserve value and configured to execute the traffic light engine to track the user-interaction with respect to determining the fractional flow reserve value and provide a warning in response to determining there is a potential incorrect interaction. A display is configured to display the warning requesting verification to proceed with the simulation from the point, wherein the simulation is resumed only in response to the processor receiving the requested verification.

Interaction monitoring of non-invasive imaging based FFR

A non-spectral computed tomography scanner () includes a radiation source () configured to emit x-ray radiation, a detector array () configured to detect x-ray radiation and generate non-spectral data, and a memory () configured to store a spectral image module () that includes computer executable instructions including a neural network trained to produce spectral volumetric image data. The neural network is trained with training spectral volumetric image data and training non-spectral data. The non-spectral computed tomography scanner further includes a processor () configured to process the non-spectral data with the trained neural network to produce spectral volumetric image data.

Non-spectral computed tomography (CT) scanner configured to generate spectral volumetric image data

A non-transitory storage medium storing instructions readable and executable by an imaging workstation () including at least one electronic processor () to perform an image reconstruction method (). The method includes: receiving emission imaging data () from an image acquisition device () wherein the emission imaging data has been filtered using an acquisition energy passband (); generating filtered imaging data by filtering the emission imaging data with a second energy passband () that is narrower than an acquisition energy passband; reconstructing the filtered imaging data to generate an intermediate image; estimating one or more scatter correction factors (SCFs) from the intermediate image; and reconstructing the emission imaging data corrected with the estimated SCFs to generate a reconstructed image.

Scatter correction using emission image estimate reconstructed from narrow energy window counts in positron emission tomography

A non-transitory computer-readable medium storing instructions readable and executable by a workstation () including at least one electronic processor () to perform a quality control (QC) method (). The method includes: receiving a current QC data set acquired by a pixelated detector () and one or more prior QC data sets acquired by the pixelated detector; determining stability levels of detector pixels () of the pixelated detector over time from the current QC data set and the one or more prior QC data sets; labeling a detector pixel of the pixelated detector as dead when the stability level determined for the detector pixel is outside of a stability threshold range; and displaying, on a display device () operatively connected with the workstation, an identification () of the detector pixels labelled as dead.

Handling detector pixel performance variation in digital positron emission tomography

A nuclear imaging chain () includes a molecular agent (), an acquisition system (), a reconstruction system (), a detection system (), and a display system (). The various components of the imaging chain are optimized according to desired optimization criteria. The optimized characteristics of the imaging chain () may include one or more an agent characteristic, an acquisition characteristic (), a reconstruction characteristic (), a detection characteristic (), and a display characteristic.

Molecular imaging apparatus and method

A method includes receiving a signal indicative of a single user selected imaging protocol for scanning a patient. The imaging protocol includes parameters for two or more of a bone mineral density, a fat composition, or an aortic calcium imaging procedures. The method further includes performing a single scan of the patient using the single user selected protocol. The method further includes generating a single set of image data for the two or more of a bone mineral density, a fat composition, or an aortic calcium imaging procedures.

Single scan multi-procedure imaging

An isolation system with imaging or radiation therapy capability is disclosed. At least one containment barrier () defines an isolation region (). An imaging or therapy system () is disposed outside of the isolation region. The containment barrier includes a substantially hollow tubular extension () protruding away from the isolation region (). The substantially hollow tubular extension surrounds an interior volume () that is in fluid communication with the isolation region and is in fluid isolation from the imaging or therapy system. The substantially hollow tubular extension is made at least partially of a material providing operative communication between the imaging or therapy system and the interior volume of the substantially hollow tubular extension.

Containment tubes and imaging systems employing same

A method includes receiving imaging data generated by an imaging system (100) for a scan performed utilizing an imaging protocol with parameters that are based on a plurality of different imaging procedures; processing the imaging data using at least one algorithm corresponding to at least one of the plurality of different imaging procedures; and presenting the processed imaging data.

An imaging detector includes a radiation sensitive region having first and second opposing sides. One of the first or second sides senses impinging radiation. The detector further includes electronics located on the other of the first or second sides of the radiation sensitive region. The electronics includes a thermal controller that regulates a temperature of the imaging detector.

Imaging detector thermal control

When performing positron emission tomography (PET) scanning and image reconstruction, a primary PET system () with a primary PET detector array () is used to image a patient or subject, and a secondary PET detector array () is coupled to the system at specific input points to mitigate unnecessary duplication of system components. The primary system () provides PET data processing and reconstruction for the secondary array (), in addition to the first array (). An adjustable array () includes radially movable detectors () and stationary detectors () with different crystal resolutions. The movable detectors () are alternately positioned with the stationary detectors () at a first radius to form a large detector ring, or are positioned at a second, smaller radius without the stationary detectors () to form a small detector ring.

Modular multi-geometry PET system

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Chardon, OH, United States of America

Douglas B McKnight